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    "# 数据来源：NCEP/NCAR 月平均的位势高度场\n",
    "# 实习要求\n",
    "(1)计算1980-2010年（30年）7月850 hPa 的平均高度场，绘制环流平均图；\n",
    "(2)计算2010年7月850 hPa 的高度距平，绘制高度距平场图（相对于1980-2010年共30年的平均)；\n",
    "(3)计算2010年7月850 hPa 的高度场纬偏值，绘制环流纬偏图。"
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    "# 导入需要用到的库\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "import matplotlib.pyplot as plt\n",
    "import cartopy.crs as ccrs\n",
    "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter\n",
    "from cartopy.util import add_cyclic_point\n",
    "from matplotlib.ticker import MultipleLocator\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  ###防止无法显示中文并设置黑体\n",
    "plt.rcParams['axes.unicode_minus'] = False  ###用来正常显示负号"
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    "# 创建地图函数\n",
    "def createmap():\n",
    "    proj = ccrs.PlateCarree(central_longitude=180)\n",
    "    fig = plt.figure(figsize=(9, 6))\n",
    "    ax = fig.subplots(1, 1, subplot_kw={'projection': proj})\n",
    "    # 海岸线\n",
    "    ax.coastlines('110m')\n",
    "    # 标注坐标轴\n",
    "    ax.set_xticks(np.arange(-180, 181, 30), crs=ccrs.PlateCarree())\n",
    "    ax.set_yticks(np.arange(-90, 91, 30), crs=ccrs.PlateCarree())\n",
    "    # 设置大小刻度\n",
    "    minorticks = MultipleLocator(10)\n",
    "    majorticks = MultipleLocator(30)\n",
    "    ax.xaxis.set_major_locator(majorticks)\n",
    "    ax.xaxis.set_minor_locator(minorticks)\n",
    "    ax.yaxis.set_minor_locator(minorticks)\n",
    "    # 经纬度格式，把0经度设置不加E和W\n",
    "    lon_formatter = LongitudeFormatter(zero_direction_label=False)\n",
    "    lat_formatter = LatitudeFormatter()\n",
    "    ax.xaxis.set_major_formatter(lon_formatter)\n",
    "    ax.yaxis.set_major_formatter(lat_formatter)\n",
    "    return ax, fig"
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (time: 855, level: 17, lat: 73, lon: 144)&gt;\n",
       "[152791920 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * level    (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1948-01-01 1948-02-01 ... 2019-03-01\n",
       "Attributes:\n",
       "    long_name:     Monthly mean geopotential height\n",
       "    valid_range:   [ -700. 35000.]\n",
       "    units:         m\n",
       "    precision:     0\n",
       "    GRIB_id:       7\n",
       "    GRIB_name:     HGT\n",
       "    var_desc:      Geopotential height\n",
       "    level_desc:    Multiple levels\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Other\n",
       "    dataset:       NCEP Reanalysis Derived Products\n",
       "    actual_range:  [ -354.45834 32321.098  ]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 855</li><li><span class='xr-has-index'>level</span>: 17</li><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-e4e5bb04-545e-4bf7-82ec-43c53ab7915c' class='xr-array-in' type='checkbox' checked><label for='section-e4e5bb04-545e-4bf7-82ec-43c53ab7915c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[152791920 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-1b983f45-034f-462f-a274-dbb2b49d7a8c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1b983f45-034f-462f-a274-dbb2b49d7a8c' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>level</span></div><div class='xr-var-dims'>(level)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>1e+03 925.0 850.0 ... 20.0 10.0</div><input id='attrs-d17f2505-04cb-4e07-abf2-ca01448d16d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d17f2505-04cb-4e07-abf2-ca01448d16d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7de36f30-3c4f-4564-a53a-4259f2ea604d' class='xr-var-data-in' type='checkbox'><label for='data-7de36f30-3c4f-4564-a53a-4259f2ea604d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([1000.,  925.,  850.,  700.,  600.,  500.,  400.,  300.,  250.,  200.,\n",
       "        150.,  100.,   70.,   50.,   30.,   20.,   10.], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-8bf7849f-5221-4e0f-b6ce-6c9a86b009ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bf7849f-5221-4e0f-b6ce-6c9a86b009ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-740fe527-de91-4779-9074-9be4666bce70' class='xr-var-data-in' type='checkbox'><label for='data-740fe527-de91-4779-9074-9be4666bce70' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-5e84e500-db72-4821-b8ce-3c0d4aeb38c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5e84e500-db72-4821-b8ce-3c0d4aeb38c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-349cd0bd-8180-4d63-8e92-f4bf9fc3f937' class='xr-var-data-in' type='checkbox'><label for='data-349cd0bd-8180-4d63-8e92-f4bf9fc3f937' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1948-01-01 ... 2019-03-01</div><input id='attrs-9547c599-2fe5-42ec-92d0-aee76e6c35de' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9547c599-2fe5-42ec-92d0-aee76e6c35de' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ab2a877e-6d85-4e9e-9325-69a722cae070' class='xr-var-data-in' type='checkbox'><label for='data-ab2a877e-6d85-4e9e-9325-69a722cae070' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1297320. 1921128.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1948-01-01T00:00:00.000000000&#x27;, &#x27;1948-02-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1948-03-01T00:00:00.000000000&#x27;, ..., &#x27;2019-01-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2019-02-01T00:00:00.000000000&#x27;, &#x27;2019-03-01T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3e2a0fa5-ef33-4c8a-a5f7-29e6adb5bac9' class='xr-section-summary-in' type='checkbox'  ><label for='section-3e2a0fa5-ef33-4c8a-a5f7-29e6adb5bac9' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly mean geopotential height</dd><dt><span>valid_range :</span></dt><dd>[ -700. 35000.]</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>GRIB_id :</span></dt><dd>7</dd><dt><span>GRIB_name :</span></dt><dd>HGT</dd><dt><span>var_desc :</span></dt><dd>Geopotential height</dd><dt><span>level_desc :</span></dt><dd>Multiple levels</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>dataset :</span></dt><dd>NCEP Reanalysis Derived Products</dd><dt><span>actual_range :</span></dt><dd>[ -354.45834 32321.098  ]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (time: 855, level: 17, lat: 73, lon: 144)>\n",
       "[152791920 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * level    (level) float32 1e+03 925.0 850.0 700.0 ... 50.0 30.0 20.0 10.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1948-01-01 1948-02-01 ... 2019-03-01\n",
       "Attributes:\n",
       "    long_name:     Monthly mean geopotential height\n",
       "    valid_range:   [ -700. 35000.]\n",
       "    units:         m\n",
       "    precision:     0\n",
       "    GRIB_id:       7\n",
       "    GRIB_name:     HGT\n",
       "    var_desc:      Geopotential height\n",
       "    level_desc:    Multiple levels\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Other\n",
       "    dataset:       NCEP Reanalysis Derived Products\n",
       "    actual_range:  [ -354.45834 32321.098  ]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds = xr.open_dataset('D:\\WORKcode\\DuanQiQiHou\\data\\hgt.mon.mean.nc')['hgt']\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
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   "outputs": [],
   "source": [
    "lat = ds['lat']\n",
    "lon = ds['lon']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "ds1 = ds.loc[ds.time.dt.month.isin([7])].loc[\"1980-01-01\":'2010-12-01', 850, :, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
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       ".xr-array-in:checked ~ .xr-array-data,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (time: 31, lat: 73, lon: 144)&gt;\n",
       "[325872 values with dtype=float32]\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1980-07-01 1981-07-01 ... 2010-07-01\n",
       "Attributes:\n",
       "    long_name:     Monthly mean geopotential height\n",
       "    valid_range:   [ -700. 35000.]\n",
       "    units:         m\n",
       "    precision:     0\n",
       "    GRIB_id:       7\n",
       "    GRIB_name:     HGT\n",
       "    var_desc:      Geopotential height\n",
       "    level_desc:    Multiple levels\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Other\n",
       "    dataset:       NCEP Reanalysis Derived Products\n",
       "    actual_range:  [ -354.45834 32321.098  ]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 31</li><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-808be75c-93bb-4377-9baf-700a54589ecd' class='xr-array-in' type='checkbox' checked><label for='section-808be75c-93bb-4377-9baf-700a54589ecd' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[325872 values with dtype=float32]</pre></div></div></li><li class='xr-section-item'><input id='section-adfc133a-0419-4f9f-978e-43996afb2678' class='xr-section-summary-in' type='checkbox'  checked><label for='section-adfc133a-0419-4f9f-978e-43996afb2678' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>850.0</div><input id='attrs-fab2267e-0317-45fc-a063-3c2eef7c4a3c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fab2267e-0317-45fc-a063-3c2eef7c4a3c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a98582be-b4da-491d-843a-3b0c5cf6ee18' class='xr-var-data-in' type='checkbox'><label for='data-a98582be-b4da-491d-843a-3b0c5cf6ee18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(850., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-a0e8e34c-4479-4b11-b240-3e82c9856717' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a0e8e34c-4479-4b11-b240-3e82c9856717' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c76561fb-9628-470f-ac28-c3b27e6500b6' class='xr-var-data-in' type='checkbox'><label for='data-c76561fb-9628-470f-ac28-c3b27e6500b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-4b5ab04a-2e31-4ac3-ade6-353f5fd8a58d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b5ab04a-2e31-4ac3-ade6-353f5fd8a58d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c015870-f363-421f-8a7f-91e5c82c773f' class='xr-var-data-in' type='checkbox'><label for='data-6c015870-f363-421f-8a7f-91e5c82c773f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>1980-07-01 ... 2010-07-01</div><input id='attrs-f79e4946-d9e1-4b17-8c0c-bf58e832b67d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f79e4946-d9e1-4b17-8c0c-bf58e832b67d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-396b2c30-1734-476e-8558-3cf022cc4ff2' class='xr-var-data-in' type='checkbox'><label for='data-396b2c30-1734-476e-8558-3cf022cc4ff2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1297320. 1921128.]</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1980-07-01T00:00:00.000000000&#x27;, &#x27;1981-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1982-07-01T00:00:00.000000000&#x27;, &#x27;1983-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1984-07-01T00:00:00.000000000&#x27;, &#x27;1985-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1986-07-01T00:00:00.000000000&#x27;, &#x27;1987-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1988-07-01T00:00:00.000000000&#x27;, &#x27;1989-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1990-07-01T00:00:00.000000000&#x27;, &#x27;1991-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1992-07-01T00:00:00.000000000&#x27;, &#x27;1993-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1994-07-01T00:00:00.000000000&#x27;, &#x27;1995-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1996-07-01T00:00:00.000000000&#x27;, &#x27;1997-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;1998-07-01T00:00:00.000000000&#x27;, &#x27;1999-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2000-07-01T00:00:00.000000000&#x27;, &#x27;2001-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2002-07-01T00:00:00.000000000&#x27;, &#x27;2003-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2004-07-01T00:00:00.000000000&#x27;, &#x27;2005-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2006-07-01T00:00:00.000000000&#x27;, &#x27;2007-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2008-07-01T00:00:00.000000000&#x27;, &#x27;2009-07-01T00:00:00.000000000&#x27;,\n",
       "       &#x27;2010-07-01T00:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-536f32d4-0e7e-453b-8787-79b1d47a7c12' class='xr-section-summary-in' type='checkbox'  ><label for='section-536f32d4-0e7e-453b-8787-79b1d47a7c12' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly mean geopotential height</dd><dt><span>valid_range :</span></dt><dd>[ -700. 35000.]</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>GRIB_id :</span></dt><dd>7</dd><dt><span>GRIB_name :</span></dt><dd>HGT</dd><dt><span>var_desc :</span></dt><dd>Geopotential height</dd><dt><span>level_desc :</span></dt><dd>Multiple levels</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>dataset :</span></dt><dd>NCEP Reanalysis Derived Products</dd><dt><span>actual_range :</span></dt><dd>[ -354.45834 32321.098  ]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (time: 31, lat: 73, lon: 144)>\n",
       "[325872 values with dtype=float32]\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "  * time     (time) datetime64[ns] 1980-07-01 1981-07-01 ... 2010-07-01\n",
       "Attributes:\n",
       "    long_name:     Monthly mean geopotential height\n",
       "    valid_range:   [ -700. 35000.]\n",
       "    units:         m\n",
       "    precision:     0\n",
       "    GRIB_id:       7\n",
       "    GRIB_name:     HGT\n",
       "    var_desc:      Geopotential height\n",
       "    level_desc:    Multiple levels\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Other\n",
       "    dataset:       NCEP Reanalysis Derived Products\n",
       "    actual_range:  [ -354.45834 32321.098  ]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   "execution_count": 7,
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       "\n",
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       "  grid-column: 1;\n",
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       "\n",
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       "\n",
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       "\n",
       ".xr-icon-database,\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (lat: 73, lon: 144)&gt;\n",
       "array([[1377.1571, 1377.1571, 1377.1571, ..., 1377.1571, 1377.1571,\n",
       "        1377.1571],\n",
       "       [1379.7501, 1379.7429, 1379.7438, ..., 1379.7212, 1379.7356,\n",
       "        1379.7336],\n",
       "       [1384.7316, 1384.7471, 1384.7336, ..., 1384.9095, 1384.8129,\n",
       "        1384.7576],\n",
       "       ...,\n",
       "       [1332.029 , 1339.7421, 1347.1458, ..., 1307.742 , 1315.9937,\n",
       "        1324.1195],\n",
       "       [1343.6171, 1347.329 , 1351.0156, ..., 1332.2048, 1336.0272,\n",
       "        1339.8408],\n",
       "       [1330.0614, 1330.0614, 1330.0614, ..., 1330.0614, 1330.0614,\n",
       "        1330.0614]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ffc242f2-b6e4-432c-bd84-dd37a0c4e516' class='xr-array-in' type='checkbox' checked><label for='section-ffc242f2-b6e4-432c-bd84-dd37a0c4e516' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.377e+03 1.377e+03 1.377e+03 1.377e+03 ... 1.33e+03 1.33e+03 1.33e+03</span></div><div class='xr-array-data'><pre>array([[1377.1571, 1377.1571, 1377.1571, ..., 1377.1571, 1377.1571,\n",
       "        1377.1571],\n",
       "       [1379.7501, 1379.7429, 1379.7438, ..., 1379.7212, 1379.7356,\n",
       "        1379.7336],\n",
       "       [1384.7316, 1384.7471, 1384.7336, ..., 1384.9095, 1384.8129,\n",
       "        1384.7576],\n",
       "       ...,\n",
       "       [1332.029 , 1339.7421, 1347.1458, ..., 1307.742 , 1315.9937,\n",
       "        1324.1195],\n",
       "       [1343.6171, 1347.329 , 1351.0156, ..., 1332.2048, 1336.0272,\n",
       "        1339.8408],\n",
       "       [1330.0614, 1330.0614, 1330.0614, ..., 1330.0614, 1330.0614,\n",
       "        1330.0614]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7b16fc42-4dae-4ea3-a617-7137952a955a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7b16fc42-4dae-4ea3-a617-7137952a955a' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>850.0</div><input id='attrs-f68e8f25-92c4-402e-85ef-7b0a6dc2febe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f68e8f25-92c4-402e-85ef-7b0a6dc2febe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e818bc-6e00-4628-ae65-eae988921a46' class='xr-var-data-in' type='checkbox'><label for='data-34e818bc-6e00-4628-ae65-eae988921a46' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(850., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-d28889d7-6cee-45f1-91b7-26aea21299d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d28889d7-6cee-45f1-91b7-26aea21299d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-626d45be-daa2-4adf-ac9c-741d0db52d45' class='xr-var-data-in' type='checkbox'><label for='data-626d45be-daa2-4adf-ac9c-741d0db52d45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-3d81952b-60ab-4308-8c8f-c19e92107541' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3d81952b-60ab-4308-8c8f-c19e92107541' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bc78402-6634-44cf-b096-f8cd54a73cdc' class='xr-var-data-in' type='checkbox'><label for='data-2bc78402-6634-44cf-b096-f8cd54a73cdc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a718a3fb-e30e-464e-b813-bb9b3971eb95' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a718a3fb-e30e-464e-b813-bb9b3971eb95' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (lat: 73, lon: 144)>\n",
       "array([[1377.1571, 1377.1571, 1377.1571, ..., 1377.1571, 1377.1571,\n",
       "        1377.1571],\n",
       "       [1379.7501, 1379.7429, 1379.7438, ..., 1379.7212, 1379.7356,\n",
       "        1379.7336],\n",
       "       [1384.7316, 1384.7471, 1384.7336, ..., 1384.9095, 1384.8129,\n",
       "        1384.7576],\n",
       "       ...,\n",
       "       [1332.029 , 1339.7421, 1347.1458, ..., 1307.742 , 1315.9937,\n",
       "        1324.1195],\n",
       "       [1343.6171, 1347.329 , 1351.0156, ..., 1332.2048, 1336.0272,\n",
       "        1339.8408],\n",
       "       [1330.0614, 1330.0614, 1330.0614, ..., 1330.0614, 1330.0614,\n",
       "        1330.0614]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avehgt850 = ds1.mean(dim='time')\n",
    "avehgt850"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   },
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'hgt' ()>\n",
      "array(1616.3560791)\n",
      "Coordinates:\n",
      "    level    float32 850.0 <xarray.DataArray 'hgt' ()>\n",
      "array(1047.05310059)\n",
      "Coordinates:\n",
      "    level    float32 850.0\n"
     ]
    }
   ],
   "source": [
    "print(avehgt850.max(),avehgt850.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax,fig = createmap()\n",
    "avehgt850data,lon1=add_cyclic_point(avehgt850,coord=lon)\n",
    "denglines = ax.contour(lon1, lat, avehgt850data,levels=np.linspace(1040,1620,20), colors='blue',linewidths=1,transform=ccrs.PlateCarree())\n",
    "plt.clabel(denglines, inline=True, fontsize=8, fmt='%.0f')\n",
    "ax.set_title('QU1:850hPaavehgt',loc='left')\n",
    "plt.savefig('D:\\\\WORKcode\\\\DuanQiQiHou\\\\data\\\\1.png')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><svg style=\"position: absolute; width: 0; height: 0; overflow: hidden\">\n",
       "<defs>\n",
       "<symbol id=\"icon-database\" viewBox=\"0 0 32 32\">\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (lat: 73, lon: 144)&gt;\n",
       "array([[1310.871 , 1310.871 , 1310.871 , ..., 1310.871 , 1310.871 , 1310.871 ],\n",
       "       [1332.742 , 1332.2903, 1332.1613, ..., 1333.3226, 1333.1936, 1332.9032],\n",
       "       [1354.5807, 1354.4517, 1354.129 , ..., 1355.4193, 1355.0968, 1354.871 ],\n",
       "       ...,\n",
       "       [1293.7097, 1301.    , 1307.742 , ..., 1269.4193, 1277.871 , 1285.9354],\n",
       "       [1277.9354, 1281.4193, 1284.8064, ..., 1266.8064, 1270.6451, 1274.3871],\n",
       "       [1233.3549, 1233.3549, 1233.3549, ..., 1233.3549, 1233.3549, 1233.3549]],\n",
       "      dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "    time     datetime64[ns] 2010-07-01\n",
       "Attributes:\n",
       "    long_name:     Monthly mean geopotential height\n",
       "    valid_range:   [ -700. 35000.]\n",
       "    units:         m\n",
       "    precision:     0\n",
       "    GRIB_id:       7\n",
       "    GRIB_name:     HGT\n",
       "    var_desc:      Geopotential height\n",
       "    level_desc:    Multiple levels\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Other\n",
       "    dataset:       NCEP Reanalysis Derived Products\n",
       "    actual_range:  [ -354.45834 32321.098  ]</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-5067411d-12fc-456d-b098-0b9a5b456354' class='xr-array-in' type='checkbox' checked><label for='section-5067411d-12fc-456d-b098-0b9a5b456354' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.311e+03 1.311e+03 1.311e+03 ... 1.233e+03 1.233e+03 1.233e+03</span></div><div class='xr-array-data'><pre>array([[1310.871 , 1310.871 , 1310.871 , ..., 1310.871 , 1310.871 , 1310.871 ],\n",
       "       [1332.742 , 1332.2903, 1332.1613, ..., 1333.3226, 1333.1936, 1332.9032],\n",
       "       [1354.5807, 1354.4517, 1354.129 , ..., 1355.4193, 1355.0968, 1354.871 ],\n",
       "       ...,\n",
       "       [1293.7097, 1301.    , 1307.742 , ..., 1269.4193, 1277.871 , 1285.9354],\n",
       "       [1277.9354, 1281.4193, 1284.8064, ..., 1266.8064, 1270.6451, 1274.3871],\n",
       "       [1233.3549, 1233.3549, 1233.3549, ..., 1233.3549, 1233.3549, 1233.3549]],\n",
       "      dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-c657ad8c-0565-4df2-9011-2d066ef173b0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c657ad8c-0565-4df2-9011-2d066ef173b0' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>850.0</div><input id='attrs-385c030e-0cb5-4341-89f7-5fb871ba0579' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-385c030e-0cb5-4341-89f7-5fb871ba0579' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e66a3984-f263-4b29-b68f-cf0aece629d0' class='xr-var-data-in' type='checkbox'><label for='data-e66a3984-f263-4b29-b68f-cf0aece629d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(850., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-7462ce52-15fd-4d8a-a73a-af36928c838f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7462ce52-15fd-4d8a-a73a-af36928c838f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3519c8bb-bc43-4359-9266-8822c4fe4d29' class='xr-var-data-in' type='checkbox'><label for='data-3519c8bb-bc43-4359-9266-8822c4fe4d29' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-33de4df9-f877-4a71-96fa-6cea81f4761f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33de4df9-f877-4a71-96fa-6cea81f4761f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1d10866d-18fa-4b57-8ebe-10b2a62d5b31' class='xr-var-data-in' type='checkbox'><label for='data-1d10866d-18fa-4b57-8ebe-10b2a62d5b31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-07-01</div><input id='attrs-5c80460f-99d6-433e-b4ec-0b94cef6594d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c80460f-99d6-433e-b4ec-0b94cef6594d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a940058-5926-4245-89d1-7839f5c7103c' class='xr-var-data-in' type='checkbox'><label for='data-8a940058-5926-4245-89d1-7839f5c7103c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1297320. 1921128.]</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2010-07-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-469ff82e-dbde-474c-a7ef-ee4c38c00631' class='xr-section-summary-in' type='checkbox'  ><label for='section-469ff82e-dbde-474c-a7ef-ee4c38c00631' class='xr-section-summary' >Attributes: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Monthly mean geopotential height</dd><dt><span>valid_range :</span></dt><dd>[ -700. 35000.]</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>precision :</span></dt><dd>0</dd><dt><span>GRIB_id :</span></dt><dd>7</dd><dt><span>GRIB_name :</span></dt><dd>HGT</dd><dt><span>var_desc :</span></dt><dd>Geopotential height</dd><dt><span>level_desc :</span></dt><dd>Multiple levels</dd><dt><span>statistic :</span></dt><dd>Mean</dd><dt><span>parent_stat :</span></dt><dd>Other</dd><dt><span>dataset :</span></dt><dd>NCEP Reanalysis Derived Products</dd><dt><span>actual_range :</span></dt><dd>[ -354.45834 32321.098  ]</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (lat: 73, lon: 144)>\n",
       "array([[1310.871 , 1310.871 , 1310.871 , ..., 1310.871 , 1310.871 , 1310.871 ],\n",
       "       [1332.742 , 1332.2903, 1332.1613, ..., 1333.3226, 1333.1936, 1332.9032],\n",
       "       [1354.5807, 1354.4517, 1354.129 , ..., 1355.4193, 1355.0968, 1354.871 ],\n",
       "       ...,\n",
       "       [1293.7097, 1301.    , 1307.742 , ..., 1269.4193, 1277.871 , 1285.9354],\n",
       "       [1277.9354, 1281.4193, 1284.8064, ..., 1266.8064, 1270.6451, 1274.3871],\n",
       "       [1233.3549, 1233.3549, 1233.3549, ..., 1233.3549, 1233.3549, 1233.3549]],\n",
       "      dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "    time     datetime64[ns] 2010-07-01\n",
       "Attributes:\n",
       "    long_name:     Monthly mean geopotential height\n",
       "    valid_range:   [ -700. 35000.]\n",
       "    units:         m\n",
       "    precision:     0\n",
       "    GRIB_id:       7\n",
       "    GRIB_name:     HGT\n",
       "    var_desc:      Geopotential height\n",
       "    level_desc:    Multiple levels\n",
       "    statistic:     Mean\n",
       "    parent_stat:   Other\n",
       "    dataset:       NCEP Reanalysis Derived Products\n",
       "    actual_range:  [ -354.45834 32321.098  ]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hgt850_7=ds1.loc['2010-07-01']\n",
    "hgt850_7"
   ]
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       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (lat: 73, lon: 144)&gt;\n",
       "array([[-66.28613 , -66.28613 , -66.28613 , ..., -66.28613 , -66.28613 ,\n",
       "        -66.28613 ],\n",
       "       [-47.00818 , -47.452637, -47.58252 , ..., -46.39856 , -46.541992,\n",
       "        -46.830444],\n",
       "       [-30.150879, -30.29541 , -30.604614, ..., -29.490234, -29.716064,\n",
       "        -29.886597],\n",
       "       ...,\n",
       "       [-38.319336, -38.742065, -39.40381 , ..., -38.32263 , -38.12268 ,\n",
       "        -38.184082],\n",
       "       [-65.68164 , -65.90967 , -66.20923 , ..., -65.39844 , -65.38208 ,\n",
       "        -65.453735],\n",
       "       [-96.70654 , -96.70654 , -96.70654 , ..., -96.70654 , -96.70654 ,\n",
       "        -96.70654 ]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "    time     datetime64[ns] 2010-07-01</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-ee90d347-a5f5-4d9a-8cac-ff83a5dc4f63' class='xr-array-in' type='checkbox' checked><label for='section-ee90d347-a5f5-4d9a-8cac-ff83a5dc4f63' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-66.29 -66.29 -66.29 -66.29 -66.29 ... -96.71 -96.71 -96.71 -96.71</span></div><div class='xr-array-data'><pre>array([[-66.28613 , -66.28613 , -66.28613 , ..., -66.28613 , -66.28613 ,\n",
       "        -66.28613 ],\n",
       "       [-47.00818 , -47.452637, -47.58252 , ..., -46.39856 , -46.541992,\n",
       "        -46.830444],\n",
       "       [-30.150879, -30.29541 , -30.604614, ..., -29.490234, -29.716064,\n",
       "        -29.886597],\n",
       "       ...,\n",
       "       [-38.319336, -38.742065, -39.40381 , ..., -38.32263 , -38.12268 ,\n",
       "        -38.184082],\n",
       "       [-65.68164 , -65.90967 , -66.20923 , ..., -65.39844 , -65.38208 ,\n",
       "        -65.453735],\n",
       "       [-96.70654 , -96.70654 , -96.70654 , ..., -96.70654 , -96.70654 ,\n",
       "        -96.70654 ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-7e91833c-8fbf-42b0-8f85-084241b9b1d7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-7e91833c-8fbf-42b0-8f85-084241b9b1d7' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>850.0</div><input id='attrs-d3b9210c-8c3e-477f-b038-9e76cdc1ddb9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3b9210c-8c3e-477f-b038-9e76cdc1ddb9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b76ed652-c5ed-468d-9935-201c1e7a7799' class='xr-var-data-in' type='checkbox'><label for='data-b76ed652-c5ed-468d-9935-201c1e7a7799' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(850., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-be76d319-4f4e-4ab7-99dd-4b8baccc5a44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-be76d319-4f4e-4ab7-99dd-4b8baccc5a44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8396ad50-7c0c-4dd7-a6f2-a08f95c1ae1f' class='xr-var-data-in' type='checkbox'><label for='data-8396ad50-7c0c-4dd7-a6f2-a08f95c1ae1f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-448fb4a8-6d59-463a-b8a5-2c40255d293b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-448fb4a8-6d59-463a-b8a5-2c40255d293b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e7dd45b-0b6d-43aa-b08c-cef2c9d8aa9a' class='xr-var-data-in' type='checkbox'><label for='data-1e7dd45b-0b6d-43aa-b08c-cef2c9d8aa9a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-07-01</div><input id='attrs-cf4d32bf-f1da-4f6a-8fb0-58f45602bdc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cf4d32bf-f1da-4f6a-8fb0-58f45602bdc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-470f46b1-37e4-4d6d-9eac-0d1417f763d6' class='xr-var-data-in' type='checkbox'><label for='data-470f46b1-37e4-4d6d-9eac-0d1417f763d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1297320. 1921128.]</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2010-07-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-27010a22-a299-452d-8523-9275fa219399' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-27010a22-a299-452d-8523-9275fa219399' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (lat: 73, lon: 144)>\n",
       "array([[-66.28613 , -66.28613 , -66.28613 , ..., -66.28613 , -66.28613 ,\n",
       "        -66.28613 ],\n",
       "       [-47.00818 , -47.452637, -47.58252 , ..., -46.39856 , -46.541992,\n",
       "        -46.830444],\n",
       "       [-30.150879, -30.29541 , -30.604614, ..., -29.490234, -29.716064,\n",
       "        -29.886597],\n",
       "       ...,\n",
       "       [-38.319336, -38.742065, -39.40381 , ..., -38.32263 , -38.12268 ,\n",
       "        -38.184082],\n",
       "       [-65.68164 , -65.90967 , -66.20923 , ..., -65.39844 , -65.38208 ,\n",
       "        -65.453735],\n",
       "       [-96.70654 , -96.70654 , -96.70654 , ..., -96.70654 , -96.70654 ,\n",
       "        -96.70654 ]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "    time     datetime64[ns] 2010-07-01"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "juping_hgt850_7=hgt850_7-avehgt850\n",
    "juping_hgt850_7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'hgt' ()>\n",
      "array(80.37451172)\n",
      "Coordinates:\n",
      "    level    float32 850.0\n",
      "    time     datetime64[ns] 2010-07-01 <xarray.DataArray 'hgt' ()>\n",
      "array(-136.44232178)\n",
      "Coordinates:\n",
      "    level    float32 850.0\n",
      "    time     datetime64[ns] 2010-07-01\n"
     ]
    }
   ],
   "source": [
    "print(juping_hgt850_7.max(),juping_hgt850_7.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax,fig = createmap()\n",
    "juping_hgt850_7data,lon2=add_cyclic_point(juping_hgt850_7,coord=lon)\n",
    "colorbar = ax.contourf(lon2, lat, juping_hgt850_7data, levels=np.arange(-140, 82, 10), cmap='jet',extend='both',transform=ccrs.PlateCarree())\n",
    "cb=plt.colorbar(colorbar,location='bottom',shrink=0.5,pad=0.09,extendfrac='auto')\n",
    "ax.set_title('QU2:850hPahgtjuping-2010',loc='left')\n",
    "plt.savefig('D:\\\\WORKcode\\\\DuanQiQiHou\\\\data\\\\2.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<defs>\n",
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (lat: 73)&gt;\n",
       "array([1310.871 , 1315.7887, 1328.9052, 1346.5044, 1364.927 , 1382.2047,\n",
       "       1398.0181, 1412.3372, 1424.6534, 1434.239 , 1441.2994, 1447.092 ,\n",
       "       1452.9282, 1459.2305, 1466.2556, 1474.8717, 1485.8245, 1498.3224,\n",
       "       1510.2476, 1520.183 , 1528.2036, 1534.4612, 1538.2502, 1538.9152,\n",
       "       1537.0365, 1533.7607, 1529.5365, 1524.5875, 1519.8325, 1516.5061,\n",
       "       1514.8721, 1514.3643, 1514.5093, 1515.0592, 1515.3298, 1514.7812,\n",
       "       1513.9834, 1514.1584, 1515.6595, 1518.1029, 1521.6573, 1527.0269,\n",
       "       1533.9861, 1541.2206, 1547.6346, 1552.9462, 1556.4626, 1556.6411,\n",
       "       1552.3755, 1543.7234, 1530.7854, 1512.8986, 1489.6393, 1461.4891,\n",
       "       1428.9061, 1391.523 , 1349.255 , 1303.0013, 1253.8483, 1202.6337,\n",
       "       1151.2847, 1104.3123, 1068.6637, 1052.5883, 1062.0663, 1093.6743,\n",
       "       1130.4236, 1152.0508, 1155.1166, 1158.6168, 1181.5869, 1216.2684,\n",
       "       1233.3549], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "    time     datetime64[ns] 2010-07-01</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 73</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-530a70e5-a425-42c5-844d-2a8544901863' class='xr-array-in' type='checkbox' checked><label for='section-530a70e5-a425-42c5-844d-2a8544901863' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.311e+03 1.316e+03 1.329e+03 ... 1.182e+03 1.216e+03 1.233e+03</span></div><div class='xr-array-data'><pre>array([1310.871 , 1315.7887, 1328.9052, 1346.5044, 1364.927 , 1382.2047,\n",
       "       1398.0181, 1412.3372, 1424.6534, 1434.239 , 1441.2994, 1447.092 ,\n",
       "       1452.9282, 1459.2305, 1466.2556, 1474.8717, 1485.8245, 1498.3224,\n",
       "       1510.2476, 1520.183 , 1528.2036, 1534.4612, 1538.2502, 1538.9152,\n",
       "       1537.0365, 1533.7607, 1529.5365, 1524.5875, 1519.8325, 1516.5061,\n",
       "       1514.8721, 1514.3643, 1514.5093, 1515.0592, 1515.3298, 1514.7812,\n",
       "       1513.9834, 1514.1584, 1515.6595, 1518.1029, 1521.6573, 1527.0269,\n",
       "       1533.9861, 1541.2206, 1547.6346, 1552.9462, 1556.4626, 1556.6411,\n",
       "       1552.3755, 1543.7234, 1530.7854, 1512.8986, 1489.6393, 1461.4891,\n",
       "       1428.9061, 1391.523 , 1349.255 , 1303.0013, 1253.8483, 1202.6337,\n",
       "       1151.2847, 1104.3123, 1068.6637, 1052.5883, 1062.0663, 1093.6743,\n",
       "       1130.4236, 1152.0508, 1155.1166, 1158.6168, 1181.5869, 1216.2684,\n",
       "       1233.3549], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b81958cb-ee43-44f1-85b9-749e36485adb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b81958cb-ee43-44f1-85b9-749e36485adb' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>850.0</div><input id='attrs-fc97be62-a621-4883-896f-0e1c37acc802' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fc97be62-a621-4883-896f-0e1c37acc802' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-67cdc1d6-b02d-4971-8b82-cecc45e3ccae' class='xr-var-data-in' type='checkbox'><label for='data-67cdc1d6-b02d-4971-8b82-cecc45e3ccae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(850., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-28d8b465-7c37-4109-9fd3-fceb71ebc862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28d8b465-7c37-4109-9fd3-fceb71ebc862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b480963a-e001-4969-9086-5f77adbc4a98' class='xr-var-data-in' type='checkbox'><label for='data-b480963a-e001-4969-9086-5f77adbc4a98' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-07-01</div><input id='attrs-ffd12f23-100d-458f-99fa-c0603c15d596' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ffd12f23-100d-458f-99fa-c0603c15d596' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-558a99aa-6630-48bb-bd1a-552d1342b29f' class='xr-var-data-in' type='checkbox'><label for='data-558a99aa-6630-48bb-bd1a-552d1342b29f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1297320. 1921128.]</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2010-07-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6692f774-1f65-4547-870a-a5db0706018a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6692f774-1f65-4547-870a-a5db0706018a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (lat: 73)>\n",
       "array([1310.871 , 1315.7887, 1328.9052, 1346.5044, 1364.927 , 1382.2047,\n",
       "       1398.0181, 1412.3372, 1424.6534, 1434.239 , 1441.2994, 1447.092 ,\n",
       "       1452.9282, 1459.2305, 1466.2556, 1474.8717, 1485.8245, 1498.3224,\n",
       "       1510.2476, 1520.183 , 1528.2036, 1534.4612, 1538.2502, 1538.9152,\n",
       "       1537.0365, 1533.7607, 1529.5365, 1524.5875, 1519.8325, 1516.5061,\n",
       "       1514.8721, 1514.3643, 1514.5093, 1515.0592, 1515.3298, 1514.7812,\n",
       "       1513.9834, 1514.1584, 1515.6595, 1518.1029, 1521.6573, 1527.0269,\n",
       "       1533.9861, 1541.2206, 1547.6346, 1552.9462, 1556.4626, 1556.6411,\n",
       "       1552.3755, 1543.7234, 1530.7854, 1512.8986, 1489.6393, 1461.4891,\n",
       "       1428.9061, 1391.523 , 1349.255 , 1303.0013, 1253.8483, 1202.6337,\n",
       "       1151.2847, 1104.3123, 1068.6637, 1052.5883, 1062.0663, 1093.6743,\n",
       "       1130.4236, 1152.0508, 1155.1166, 1158.6168, 1181.5869, 1216.2684,\n",
       "       1233.3549], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "    time     datetime64[ns] 2010-07-01"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "avehgt850_lat=hgt850_7.mean(dim='lon')\n",
    "avehgt850_lat"
   ]
  },
  {
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;hgt&#x27; (lat: 73, lon: 144)&gt;\n",
       "array([[  0.      ,   0.      ,   0.      , ...,   0.      ,   0.      ,\n",
       "          0.      ],\n",
       "       [ 16.953247,  16.501587,  16.372559, ...,  17.533936,  17.404907,\n",
       "         17.114502],\n",
       "       [ 25.675537,  25.546509,  25.223877, ...,  26.51416 ,  26.19165 ,\n",
       "         25.96582 ],\n",
       "       ...,\n",
       "       [112.1228  , 119.413086, 126.15503 , ...,  87.8324  ,  96.28406 ,\n",
       "        104.34851 ],\n",
       "       [ 61.666992,  65.15088 ,  68.537964, ...,  50.537964,  54.37671 ,\n",
       "         58.118652],\n",
       "       [  0.      ,   0.      ,   0.      , ...,   0.      ,   0.      ,\n",
       "          0.      ]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "    time     datetime64[ns] 2010-07-01</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'hgt'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 73</li><li><span class='xr-has-index'>lon</span>: 144</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f0259522-bac1-4a23-826f-8ade18093dfb' class='xr-array-in' type='checkbox' checked><label for='section-f0259522-bac1-4a23-826f-8ade18093dfb' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0</span></div><div class='xr-array-data'><pre>array([[  0.      ,   0.      ,   0.      , ...,   0.      ,   0.      ,\n",
       "          0.      ],\n",
       "       [ 16.953247,  16.501587,  16.372559, ...,  17.533936,  17.404907,\n",
       "         17.114502],\n",
       "       [ 25.675537,  25.546509,  25.223877, ...,  26.51416 ,  26.19165 ,\n",
       "         25.96582 ],\n",
       "       ...,\n",
       "       [112.1228  , 119.413086, 126.15503 , ...,  87.8324  ,  96.28406 ,\n",
       "        104.34851 ],\n",
       "       [ 61.666992,  65.15088 ,  68.537964, ...,  50.537964,  54.37671 ,\n",
       "         58.118652],\n",
       "       [  0.      ,   0.      ,   0.      , ...,   0.      ,   0.      ,\n",
       "          0.      ]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-0192d089-0afd-4e56-85e1-4aab8d5da4c3' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0192d089-0afd-4e56-85e1-4aab8d5da4c3' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>level</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>850.0</div><input id='attrs-47e65fb4-d640-4676-b276-108267513b25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47e65fb4-d640-4676-b276-108267513b25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07ddcfe3-ec9c-4db4-a61d-38d129cec8b0' class='xr-var-data-in' type='checkbox'><label for='data-07ddcfe3-ec9c-4db4-a61d-38d129cec8b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>millibar</dd><dt><span>long_name :</span></dt><dd>Level</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>GRIB_id :</span></dt><dd>100</dd><dt><span>GRIB_name :</span></dt><dd>hPa</dd><dt><span>actual_range :</span></dt><dd>[1000.   10.]</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array(850., dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>90.0 87.5 85.0 ... -87.5 -90.0</div><input id='attrs-31337ddf-cf82-4186-9197-a6d49392776a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-31337ddf-cf82-4186-9197-a6d49392776a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6424ae13-a7f9-4132-8f2a-05ed123ff52c' class='xr-var-data-in' type='checkbox'><label for='data-6424ae13-a7f9-4132-8f2a-05ed123ff52c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>actual_range :</span></dt><dd>[ 90. -90.]</dd><dt><span>long_name :</span></dt><dd>Latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([ 90. ,  87.5,  85. ,  82.5,  80. ,  77.5,  75. ,  72.5,  70. ,  67.5,\n",
       "        65. ,  62.5,  60. ,  57.5,  55. ,  52.5,  50. ,  47.5,  45. ,  42.5,\n",
       "        40. ,  37.5,  35. ,  32.5,  30. ,  27.5,  25. ,  22.5,  20. ,  17.5,\n",
       "        15. ,  12.5,  10. ,   7.5,   5. ,   2.5,   0. ,  -2.5,  -5. ,  -7.5,\n",
       "       -10. , -12.5, -15. , -17.5, -20. , -22.5, -25. , -27.5, -30. , -32.5,\n",
       "       -35. , -37.5, -40. , -42.5, -45. , -47.5, -50. , -52.5, -55. , -57.5,\n",
       "       -60. , -62.5, -65. , -67.5, -70. , -72.5, -75. , -77.5, -80. , -82.5,\n",
       "       -85. , -87.5, -90. ], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>0.0 2.5 5.0 ... 352.5 355.0 357.5</div><input id='attrs-036bf3fc-fdfb-4525-ac5b-456a45831c15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-036bf3fc-fdfb-4525-ac5b-456a45831c15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ffc96a44-5bdc-48f2-81aa-210d255c7788' class='xr-var-data-in' type='checkbox'><label for='data-ffc96a44-5bdc-48f2-81aa-210d255c7788' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>Longitude</dd><dt><span>actual_range :</span></dt><dd>[  0.  357.5]</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([  0. ,   2.5,   5. ,   7.5,  10. ,  12.5,  15. ,  17.5,  20. ,  22.5,\n",
       "        25. ,  27.5,  30. ,  32.5,  35. ,  37.5,  40. ,  42.5,  45. ,  47.5,\n",
       "        50. ,  52.5,  55. ,  57.5,  60. ,  62.5,  65. ,  67.5,  70. ,  72.5,\n",
       "        75. ,  77.5,  80. ,  82.5,  85. ,  87.5,  90. ,  92.5,  95. ,  97.5,\n",
       "       100. , 102.5, 105. , 107.5, 110. , 112.5, 115. , 117.5, 120. , 122.5,\n",
       "       125. , 127.5, 130. , 132.5, 135. , 137.5, 140. , 142.5, 145. , 147.5,\n",
       "       150. , 152.5, 155. , 157.5, 160. , 162.5, 165. , 167.5, 170. , 172.5,\n",
       "       175. , 177.5, 180. , 182.5, 185. , 187.5, 190. , 192.5, 195. , 197.5,\n",
       "       200. , 202.5, 205. , 207.5, 210. , 212.5, 215. , 217.5, 220. , 222.5,\n",
       "       225. , 227.5, 230. , 232.5, 235. , 237.5, 240. , 242.5, 245. , 247.5,\n",
       "       250. , 252.5, 255. , 257.5, 260. , 262.5, 265. , 267.5, 270. , 272.5,\n",
       "       275. , 277.5, 280. , 282.5, 285. , 287.5, 290. , 292.5, 295. , 297.5,\n",
       "       300. , 302.5, 305. , 307.5, 310. , 312.5, 315. , 317.5, 320. , 322.5,\n",
       "       325. , 327.5, 330. , 332.5, 335. , 337.5, 340. , 342.5, 345. , 347.5,\n",
       "       350. , 352.5, 355. , 357.5], dtype=float32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>time</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2010-07-01</div><input id='attrs-870564a2-75af-466e-b47d-5f813d5320bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-870564a2-75af-466e-b47d-5f813d5320bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f88a2c3-9eb1-4bef-ba66-81cb4c974ffa' class='xr-var-data-in' type='checkbox'><label for='data-2f88a2c3-9eb1-4bef-ba66-81cb4c974ffa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Time</dd><dt><span>delta_t :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>avg_period :</span></dt><dd>0000-01-00 00:00:00</dd><dt><span>prev_avg_period :</span></dt><dd>0000-00-01 00:00:00</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>actual_range :</span></dt><dd>[1297320. 1921128.]</dd></dl></div><div class='xr-var-data'><pre>array(&#x27;2010-07-01T00:00:00.000000000&#x27;, dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fe5df686-c581-40bf-9904-61a90f8d23db' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-fe5df686-c581-40bf-9904-61a90f8d23db' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'hgt' (lat: 73, lon: 144)>\n",
       "array([[  0.      ,   0.      ,   0.      , ...,   0.      ,   0.      ,\n",
       "          0.      ],\n",
       "       [ 16.953247,  16.501587,  16.372559, ...,  17.533936,  17.404907,\n",
       "         17.114502],\n",
       "       [ 25.675537,  25.546509,  25.223877, ...,  26.51416 ,  26.19165 ,\n",
       "         25.96582 ],\n",
       "       ...,\n",
       "       [112.1228  , 119.413086, 126.15503 , ...,  87.8324  ,  96.28406 ,\n",
       "        104.34851 ],\n",
       "       [ 61.666992,  65.15088 ,  68.537964, ...,  50.537964,  54.37671 ,\n",
       "         58.118652],\n",
       "       [  0.      ,   0.      ,   0.      , ...,   0.      ,   0.      ,\n",
       "          0.      ]], dtype=float32)\n",
       "Coordinates:\n",
       "    level    float32 850.0\n",
       "  * lat      (lat) float32 90.0 87.5 85.0 82.5 80.0 ... -82.5 -85.0 -87.5 -90.0\n",
       "  * lon      (lon) float32 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "    time     datetime64[ns] 2010-07-01"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weipianzhi=hgt850_7-avehgt850_lat\n",
    "weipianzhi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray 'hgt' ()>\n",
      "array(245.54418945)\n",
      "Coordinates:\n",
      "    level    float32 850.0\n",
      "    time     datetime64[ns] 2010-07-01 <xarray.DataArray 'hgt' ()>\n",
      "array(-223.95397949)\n",
      "Coordinates:\n",
      "    level    float32 850.0\n",
      "    time     datetime64[ns] 2010-07-01\n"
     ]
    }
   ],
   "source": [
    "print(weipianzhi.max(),weipianzhi.min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax,fig = createmap()\n",
    "weipianzhidata,lon3=add_cyclic_point(weipianzhi,coord=lon)\n",
    "denglines = ax.contour(lon3, lat, weipianzhidata, levels=np.arange(-240, 250, 25), colors='blue',linewidths=1,transform=ccrs.PlateCarree())\n",
    "plt.clabel(denglines, inline=True, fontsize=8, fmt='%.0f')\n",
    "ax.set_title('QU3:850hPahgtweipian-2010',loc='left')\n",
    "plt.savefig('D:\\\\WORKcode\\\\DuanQiQiHou\\\\data\\\\3.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
